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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed
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of manufacturing variation. Provide recommendations for process optimization and compensation strategies to improve repeatability and accuracy in high-performance applications. Funding Only Home students can apply
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs
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state estimator subject to different state estimation tasks in eVTOLs? 2- How can AI, MPC, and optimization be utilized to develop a resilient EMS that meets the development challenges of eVTOLs? Key
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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: Establish a tailored enzyme panel for site-selective late-stage functionalization of complex NP scaffolds. Optimize biocatalytic reactions to generate a focused library of new NP analogues. Evaluate